Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_3_model_type_MLP_rand_seed_979323_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.847587585449219
Linear Weight Rank: 16
Intra Cos: 0.03299567848443985
Inter Cos: -0.006222443655133247
Norm Quadratic Average: 3.9938876628875732
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.785179138183594
Linear Weight Rank: 179
Intra Cos: 0.03021545708179474
Inter Cos: -0.005129517056047916
Norm Quadratic Average: 5.337813854217529
Nearest Class Center Accuracy: 0.611125

Layer 2: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.5812478065490723
Linear Weight Rank: 4
Intra Cos: 0.12205061316490173
Inter Cos: -0.020962215960025787
Norm Quadratic Average: 3.2002570629119873
Nearest Class Center Accuracy: 0.737

Output Layer:
Intra Cos: 0.368800550699234
Inter Cos: -0.0767354667186737
Norm Quadratic Average: 3.7547364234924316
Nearest Class Center Accuracy: 0.759375

Test Set:
Average Loss: 0.6538851890563965
Accuracy: 0.7325
NC1 Within Class Collapse: 5.46976900100708
NC2 Equinorm: Features: 0.12057949602603912, Weights: 0.05584646016359329
NC2 Equiangle: Features: 0.17441709836324057, Weights: 0.028799667954444885
NC3 Self-Duality: 0.22950387001037598
NC4 NCC Mismatch: 0.10999999999999999

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.847587585449219
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549722652882338
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.785179138183594
Linear Weight Rank: 179
Intra Cos: 0.027914272621273994
Inter Cos: -0.0035305796191096306
Norm Quadratic Average: 5.327452659606934
Nearest Class Center Accuracy: 0.6115

Layer 2: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.5812478065490723
Linear Weight Rank: 4
Intra Cos: 0.10684189200401306
Inter Cos: -0.0078110843896865845
Norm Quadratic Average: 3.181088924407959
Nearest Class Center Accuracy: 0.7115

Output Layer:
Intra Cos: 0.33988264203071594
Inter Cos: -0.050041042268276215
Norm Quadratic Average: 3.72102689743042
Nearest Class Center Accuracy: 0.7295

